• DocumentCode
    2643961
  • Title

    Identification of an output error Takagi-Sugeno model

  • Author

    Gasso, Komi ; Mourot, Gilles ; Ragot, José

  • Author_Institution
    CNRS, Vandoeuvre-les-Nancy, France
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    14
  • Abstract
    The identification of a TS model with output error local models is considered. The premise part of the TS model is assumed to be described by a lattice partition. The main problem involved is the determination of the premise variables, the associated number of modalities and the structure of the local models. The premise optimisation is solved by a forward approach and the structure of the local models are further refined using a pruning technique. The application of the overall procedure on a simulation example is reported
  • Keywords
    errors; fuzzy logic; fuzzy set theory; modelling; optimisation; TS model identification; forward approach; lattice partition; local models; modalities; output error Takagi-Sugeno model; output error local models; premise optimisation; premise variables; pruning technique; simulation example; Explosions; Fuzzy sets; Interpolation; Lattices; Nonlinear dynamical systems; Nonlinear systems; System identification; Takagi-Sugeno model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 2000 IEEE International Conference on
  • Conference_Location
    Nashville, TN
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-6583-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.2000.884957
  • Filename
    884957